Some new quantitative randomized response models using optional and partial scrambling for sensitive data. [PDF]
Sci RepIqbal S, Hussain Z, Omer T.
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Utilizing stratified double response techniques in public health investigations to optimize privacy and efficiency via sensitive data estimation. [PDF]
BMC Med Res MethodolShahid MI, Wanqu H, Shah F.
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A Pragmatic Approach for Reproducible Research With Sensitive Data. [PDF]
Am J Epidemiol, 2017 Shepherd BE +4 more
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An Open Source Python Library for Anonymizing Sensitive Data. [PDF]
Sci DataSáinz-Pardo Díaz J, López García Á.
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Balancing privacy and performance in healthcare: A federated learning framework for sensitive data. [PDF]
Digit HealthTanveer F +6 more
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Redaction of sensitive data in the publication of dual use research of concern. [PDF]
mBio, 2013 Casadevall A +5 more
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Author Correction: An Open Source Python Library for Anonymizing Sensitive Data. [PDF]
Sci DataSáinz-Pardo Díaz J, López García Á.
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Screening Consolidated Clinical Document Architecture (CCDA) Documents for Sensitive Data Using a Rule-Based Decision Support System. [PDF]
Appl Clin Inform, 2017 Rocha BH +3 more
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Crypt4GH-JS: securely storing sensitive data online with client-side encryption. [PDF]
BioinformaticsThelen F +5 more
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Sharing and Reuse of Sensitive Data and Samples: Supporting Researchers in Identifying Ethical and Legal Requirements. [PDF]
Biopreserv Biobank, 2015 Sariyar M, Schluender I, Smee C, Suhr S.
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